Peter Shor's algorithm could break the internet - but he's not worried Few people have invented an algorithm with the potential to spark a worldwide crisis, so why is quantum computing pioneer Peter Shor so unconcerned? "So, he's the Beyoncé of this event?" a young woman standing behind me says to a colleague. The three of us are standing, looking at the back of a crowd, whose members are all looking at a bearded man in an orange sweater. Getting a look at him is like trying to see the - only fleeting glimpses are possible. "His algorithm is the algorithm that will break everything," the colleague says, as I briefly catch sight of people posing for selfies and getting their conference badges signed.

Erling Haaland Is Everywhere at the World Cup. He's become an internet character perpetuated by fans and AI. Last week, somewhere amid the World Cup frenzy, a now-viral video circulated of Norwegian striker Erling Haaland mid-mouthful in a restaurant, glancing left and flinching at his own reflection. One post on X sharing the video racked up more than 31 million views in mere days. Fact checkers traced the footage to a slapstick skit by the Chinese comedian Jin Long, posted to TikTok in mid-June .

For our very first WIRED Book Club livestream, Kate Knibbs will be joined by the author of, Carlos Barragán. Barragán, a journalist and researcher at, flew to Lagos to embed himself with a group of young, desperate grifters. The account he brings back is a funny, sad, enraging read about how the internet can fuel heartbreak. She also leads WIRED Book Club . He was formerly a reporter at El Confidencial before receiving his MFA in nonfiction writing from Columbia University. is his first book.

Large language models (LMs) often struggle to generate diverse, human-like creative content, raising concerns about the long-term homogenization of human thought through repeated exposure to similar outputs. Yet scalable methods for evaluating LM output diversity remain limited, especially beyond narrow tasks such as random number or name generation, or beyond repeated sampling from a single model. To address this gap, we introduce INFINITY-CHAT, a largescale dataset of 26K diverse, real-world, open-ended user queries that admit a wide range of plausible answers with no single ground truth. We introduce the first comprehensive taxonomy for characterizing the full spectrum of open-ended prompts posed to LMs, comprising 6 top-level categories (e.g., creative content generation, brainstorm & ideation) that further breaks down to 17 subcategories.

In order to train, test, and evaluate nudity detection models, machine learning researchers typically rely on nude images scraped from the Internet. Our research finds that this content is collected and, in some cases, subsequently distributed by researchers without consent, leading to potential misuse and exacerbating harm against the subjects depicted. This position paper argues that the distribution of nonconsensually collected nude images by researchers perpetuates imagebased sexual abuse and that the machine learning community should stop the nonconsensual use of nude images in research. To characterize the scope and nature of this problem, we conducted a systematic review of papers published in computing venues that collect and use nude images. Our results paint a grim reality: norms around the usage of nude images are sparse, leading to a litany of problematic practices like distributing and publishing nude images with uncensored faces, and intentionally collecting and sharing abusive content. We conclude with a call-to-action for publishing venues and a vision for research in nudity detection that balances user agency with concrete research objectives.

AI is enabling a deluge of cyberattacks the likes of which we've never seen before. Late last month, I began to consider withdrawing some money from my savings account to buy gold. It's the first time I've ever thought about panic-buying. For all of the firewalls and two-factor-authentication codes, the safety of the internet is starting to falter. Hackers are gaining the upper hand over organizations around the world--hospitals, energy grids, government agencies, and, yes, banks.

'Have I been influenced, or is this actually me?' How personal taste fell out of fashion Our favourite music, clothes and books used to be markers of individuality - but the algorithm has made us all sheep. What music, films, clothes, art, books - anything, really - do you actually like? Do you find these questions more difficult to answer than you would have done 10 years ago? It has become impossible to ignore: personal taste has been seriously debased - if not completely destroyed - by technological advancement. We know the internet has radically altered the way we form our opinions and beliefs. Now we're waking up to another sobering truth: it has wrecked our capacity to form our own preferences. It used to go something like this. We experienced the outside world - including arts, culture and fashion - via a combination of community, geography, mass and specialist media, and serendipitous accidents.

Plus: Autonomous drones may have killed soldiers for the first time. Imagine tuning in to the opening kickoff of a World Cup match and seeing a player intentionally kick the ball out of bounds. You may question the logic of surrendering possession seconds into a game. If you were Jesse Davis, though, you'd know that this play could be a prime setup to score. Davis is a professor of computer science at KU Leuven in Belgium and head of its Sports Analytics Lab, which has been at the vanguard of a data awakening in soccer. Using AI and data analytics, his team has uncovered hidden tactical patterns and challenged long-held assumptions about how the game should be played.

AI is causing a crisis of agency. Back in the web-traffic-obsessed days of 2018, at a time of dawning awareness of how easily audiences online could be manipulated and spoofed by bots, the writer Max Read argued that the internet had crossed a threshold known as "the Inversion." Not only had bots proliferated across the internet; they had come to constitute it. In outnumbering humans, bots were also loosening everyone's grasp on the very reality of online experience. "What's gone from the internet, after all, isn't'truth,' but trust: the sense that the people and things we encounter are what they represent themselves to be," Read wrote.

We Asked the Author to Explain How He Used AI. A book about how AI shapes perceptions of reality came under fire for using AI-generated quotes. Its problems go beyond that. Earlier this month, WIRED published an excerpt from Steve Rosenbaum's buzzy new book,, which looks at how artificial intelligence warps people's sense of reality. Shortly thereafter, The New York Times reported that the book contained over a half-dozen made-up or misattributed quotes.